2024 - Present
Toyota
Lead Designer
Background
Revolutionizing Toyota’s Supply Chain with AI 🤖
For decades, Toyota relied on manual data entry into COSMOS, a legacy system heavily dependent on spreadsheets. This labor-intensive process, dating back to the 1980s, became a major bottleneck—especially during COVID-19, when errors and delays severely disrupted the supply chain, making vehicle production more challenging.
Recognizing the urgent need for transformation, Toyota Recognizing the urgent need for transformation, Toyota’s executive team approved a major investment to modernize its supply chain operations. The solution? An AI-powered forecasting system designed to automate and optimize processes. This innovative platform streamlined data handling, dramatically reducing processing time from three weeks to just five minutes. By minimizing human error and enhancing efficiency, this system revolutionized the way Toyota’s Supply and Demand teams operate—ushering in a new era of speed, accuracy, and scalability.
Experience
In the existing supply chain system, there was a significant lack of technological support. Legacy systems were outdated, making the entire process—from order management to vehicle launch—highly labor-intensive and inefficient.
Design Process
We began the project with in-depth user research, analyzing the Excel-based process and identifying key pain points. Additionally, we conducted a thorough review of the existing legacy data log system. Feedback revealed that users struggled with navigation and found the interface overwhelming, highlighting the need for a more intuitive and efficient solution.
Data, Data, and more Data
I worked closely with the data engineering team to redesign the system, streamlining workflows and enhancing usability. We restructured features into intuitive categories, introduced a sidebar for quick access to essential tools, and optimized the entire process within months.
Designed a data-driven dashboard to display key metrics upfront for better visibility.
Simplified the user flow, reducing the number of clicks needed to complete tasks.
Implemented an AI-powered forecasting system that enabled real-time calculations in seconds.
AI 🤝 Design
After analyzing the data, we focused on transforming forecasting insights into a clear, user-friendly experience. To enhance usability, I implemented a minimalist design with a well-defined hierarchy, using color coding and typography to distinguish primary and secondary actions.
Built a comprehensive UI library to effectively visualize forecasting data.
Applied a streamlined design approach to maximize user efficiency and speed.
Optimized the ordering process, reducing turnaround time from one month to just five days.
Results and Impact
Our team successfully streamlined 75+ Excel sheets into just three efficient processes, cutting a three-week workflow down to five days while improving accuracy from 78% to 90%. This transformation was so impactful that Toyota is now integrating additional legacy systems into the GPS application, further enhancing its supply chain. With Supply and Demand now optimized, the next phase focuses on advancing ordering and vehicle data systems to drive even greater efficiency.